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October 3rd in New York - Free TDWI Symposium on Big Data Use Cases (Social Media Data, DataViz, Big Text, more...)

On October 3rd in New York City, the NY/NJ/CT Chapter of the Data Warehousing Institute (TDWI) is hosting a free half day event about practical applications of Big Data.

The event will cover a range of big data use cases, including but not limited to Social Media as a new data source.

The keynote speaker plans to share case studies related to social media, while much of the other speakers will share case studies focused on other types of Big Data, on both the technology and the business side of the process...

Please see below for the official event prospectus from TDWI, the event organizers. You may register from the event link HERE, or directly in 60 seconds by HERE.


“Big Data. Social Media”

What’s Real and Worth Learning About?

How are companies using Big Data and Social Media to transform their industry?

Big Data.  Social Media.  What’s real and worth learning about … what is breathless hype?  What's in it for me?  What's the best way to start?  How do I start?

Join the NYC Tri-State TDWI Chapter in Midtown Manhattan on October 3rd to find out.

Interest in Big Data has surged in recent years, as new data sources, methods, and technologies expand the frontier of how data can be used.  Yet because the topic is so new, developing a road map to unlock the benefits of Big Data can be a daunting task.

The seminar is open to all business, analytics and information technology managers, with an interest in Business Intelligence, Data Warehousing, Analytics and Healthcare.  There is no fee to attend our program, although pre-registration is required.

Key questions will include:

• How do we justify, and maximize ROI on our investment in Big Data initiatives?
• What types of Big Data are most important for our business?
• When is Social Media data valuable? How do we decide how to use it?
• How do we manage Big Data assets in tandem with traditional data assets?
• What technologies should we use, and how do we fit these into our existing IT stack?

Glenn Peipert – KPMG BI Practice Director contributing to the planning, growth, leading practices, methodologies, and talent management of both the Information Management and SAP practice. Strategically focused on IT enablement and strategy, transformation, business process improvement, application development, packaged Application implementation, Business Intelligence, Data Warehousing, Information Management, Program Management and Governance. Strong focus on strategic planning through execution and oversight – current/future state, roadmap, budgeting, resourcing, and planning. Strong expertise in financial services (banking, insurance, capital markets), consumer products, pharmaceutical (Life Sciences), entertainment, and publishing. Founder, Conversion Services International


A discussion of practical examples, lessons learned, and key success factors will follow. We will be joined by guests with practical experience unlocking value from Big Data assets. Drawing from their experience, they will share use-cases, lessons learned, and best practices in areas such as:
1. Big-data technology: where to start? How to setup your first Hadoop cluster? What other technologies make the transition easier?
2. Data Visualization: how and when does it help increase ROI on Big Data initiatives?
3. The Human Dimension: what best practices improve the ability of leaders, teams, and individuals to get practical results from Big Data projects?
Case Study Participants: confirmed case study participants will include:

Alex Hasha, Chief Data Scientist, (a joint venture between Citi, Microsoft, & Morningstar)

Alexander Hasha is the lead Data Scientist at, the definitive source for information on how people spend, save, and invest their money. Alex is responsible for everything data-related -- from data architecture to MDM to assuring the accuracy of day-to-day statistical analysis. With his team he converts data from diverse sources, including Citigroup, the US Department of Labor, and other third parties, into unique insights available nowhere else. Bundle Corporation is an innovative joint venture of Citi, Morningstar, and MSN Money, and operates the website Prior to joining Bundle, Alex worked in analytic modeling at Citigroup in the company's mortgage division, where he also wrote articles for publication. He is a graduate of M.I.T. and earned his Ph.D. in mathematics from NYU's Courant Institute. He also holds an advanced certificate in mathematics from Cambridge University.

Lee Feinberg, Founder of DecisionViz.

Lee is the Founder of DecisionViz, a management consultancy that helps companies “escape the legacy of reporting data by transforming complex data into simple pictures for making decisions.” He is also the expert author of the BeyeNETWORK channel “HD Visualization – Driving BI & Analytics”

Ten years ago, working with companies generating large amounts of Internet data, Lee realized that visualization would be a disruptive capability. Clients have used his Decision Visualization™ business strategy and DRAW-ON™ visualization services to make data actionable. Industry leaders frequently ask Lee to address domestic and international audiences, most recently including O'Reilly Media Strata, Tableau Software European and North American Customer Conferences, CBS Interactive, and WARC. He served on Tableau Software's customer advisory board and is the founder of the NJ and NY Tableau Software User Groups.

Prior to founding DecisionViz, Lee joined Nokia in 2009 with the vision of “making data a part of every conversation.” His team launched data visualization services, providing 1000+ employees access to dashboards and analysis, under the credo "running business intelligence like a business." At Razorfish, Lee established an analytics management practice for the Ford Motor Company. At Digitas, Lee served on IBM’s corporate task force to define online metrics standards and introduced early interactive visualization technology. Lee received a B.S. and M.S. from Cornell University and holds a U.S. Patent for a PC-telephone interface. He is a member of the Cornell Entrepreneur Network and the Sandler Sales Institute.

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